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Technical Product Manager - Machine Learning



Compensation

$200k

Job Description

TECHNICAL PRODUCT MANAGER - MACHINE LEARNING

New York, New York, United States

Company is a NYC based hedge fund (over $50 Billion AUM) that uses a variety of technological methods, artificial intelligence, machine learning and distributed computing for its trading strategies. It is a career destination for the intellectually curious who want to learn, invent, and create. The people – a dynamic and diverse group of scientists, engineers, and business professionals – are accomplished analytical thinkers and passionate problem solvers.  We apply technology and scientific rigor to financial innovation.

We are seeking a deeply Technical Product Manager to join the AI Engineering team.  You will be responsible for crafting the product & platform strategy for enabling the research organization to apply machine learning and optimization methods to the financial markets.

 

Your responsibilities:

  • Build new AI/ML products and platforms to accelerate research
  • Develop a strategic view of external developments in the AI community to influence our product direction
  • Internalize and fully understand the challenges and problems Two Sigma quantitative researchers face across their research process
  • Be the advocate for the user when working with engineering throughout the product development cycle
  • Use metrics and quantitative analysis to measure product utility, gain insights, find opportunities, and build consensus on product direction and roadmap

You have:

  • BA/BS in Computer Science or related technical field
  • 5+ years developing highly successful technology products 
  • Previous experience building machine learning tools & platforms, or experience using machine learning or advanced analytical methods in products is  preferred
  • Real passion for designing simple solutions to complex problems
  • Clear bias for action, with a collaborative, no-ego approach
  • Exceptional analytical and organizational skills
  • While we build products in the financial space, financial experience is not a requirement

 


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